{"id":"W2623796887","doi":"10.1049/iet-gtd.2016.1995","title":"Transformer oil reclamation by combining several strategies enhanced by the use of four adsorbents","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Land reclamation; Transformer; Transformer oil; Adsorption; Process engineering; Computer science; Environmental science; Petroleum engineering; Waste management; Chemistry; Engineering; Electrical engineering; Organic chemistry; Voltage; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001030537,0.0005888781,0.0003033497,0.0004610414,0.0001517308,0.000297358,0.0002565418,0.0002449513,0.0005839532],"category_scores_gemma":[0.000118678,0.0001431156,0.000438818,0.0002232335,0.0001701196,0.0003745781,0.0002815523,0.0003118546,0.000230275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558682,"about_ca_system_score_gemma":0.0001734336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007111944,"about_ca_topic_score_gemma":0.002206709,"domain_scores_codex":[0.9999007,0.00001059814,0.000007838656,0.00002198254,0.00002685545,0.00003197941],"domain_scores_gemma":[0.9999593,0.000004958999,0.00001042705,0.000005136514,0.00001159236,0.000008563122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006295512,0.00004916931,0.0001249254,0.00007708253,0.000009402366,0.00003014257,0.00001754387,0.0001896247,0.9930905,0.00005603356,0.0000165344,0.006276228],"study_design_scores_gemma":[0.00000597653,0.0002931452,0.0007759609,0.000003426185,0.00003056348,0.00006772584,0.00002015908,0.001251079,0.9964905,0.00002142316,0.001033505,0.000006597541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819461,0.00118286,0.01454248,0.00005946495,0.00003397173,0.00007464553,0.00003772533,0.000161599,0.001961247],"genre_scores_gemma":[0.9843924,0.0007491522,0.01279038,0.00002799253,0.000008692961,0.00002404073,0.00005014036,0.00002115227,0.001936032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007111944,"threshold_uncertainty_score":0.001953483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03828102672622633,"score_gpt":0.2557931175508761,"score_spread":0.2175120908246498,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}